Oxford Deep Learning Lectures Deep Learning Lecture Maximum likelihood and information mp4

Oxford Deep Learning
Lectures Deep Learning Lecture Maximum likelihood and information mp4

Name	Oxford-Deep Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	5.4 GB
Total Files	38
Hash	4639637AE2B18C069486FDB1B0675F714BD5B8A2

/Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4	436.6 MB
/Lectures/Deep Learning Lecture 6- Optimization.mp4	344.4 MB
/Lectures/Deep Learning Lecture 1- Introduction.mp4	384.1 MB
/Lectures/Deep Learning Lecture 2- linear models.mp4	291.2 MB
/Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4	319.0 MB
/Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4	333.5 MB
/Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4	262.7 MB
/Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4	386.1 MB
/Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4	337.5 MB
/Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4	332.6 MB
/Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4	351.0 MB
/Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4	352.7 MB
/Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4	299.7 MB
/Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4	276.2 MB
/Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4	260.3 MB
Showing first 15 files of 38 total files